A weighted Combination of Classifiers Employing Shared and Distinct Representation

Kittler, J. and Hojjatoleslami, A. (1998) A weighted Combination of Classifiers Employing Shared and Distinct Representation. In: IEEE Computer Society Conference, 23 Jun 1998 - 25 Jun 1998 , Santa Barbara. (The full text of this publication is not available from this repository)

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Abstract

This paper presents a theoretical framework for the combination of soft decisions generated by experts employing mixed (some shared and some distinct) object representations. By taking the confidence of the individuals experts into account, weighted benevolent fusion strategies are derived. This provides a basis for combining classifiers and illustrates that a substantial gain in performance can be achieved by using the opinions of multiple experts. These strategies are experimentally tested and their effectiveness is considered

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA165 Combinatorics
Q Science > QA Mathematics (inc Computing science) > QA297 Numerical analysis
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Applied Mathematics
Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Faculties > Science Technology and Medical Studies > School of Computing > Security Group
Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group > Natural Computation Group
Depositing User: Sayed Ali Hojjatoleslami
Date Deposited: 19 May 2011 10:24
Last Modified: 16 Jun 2011 12:52
Resource URI: http://kar.kent.ac.uk/id/eprint/27749 (The current URI for this page, for reference purposes)
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